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» An ICA algorithm for analyzing multiple data sets
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CVPR
2010
IEEE
14 years 17 days ago
On the design of robust classifiers for computer vision
The design of robust classifiers, which can contend with the noisy and outlier ridden datasets typical of computer vision, is studied. It is argued that such robustness requires l...
Hamed Masnadi-Shirazi, Nuno Vasconcelos, Vijay Mah...
CC
2006
Springer
125views System Software» more  CC 2006»
13 years 12 months ago
Path-Based Reuse Distance Analysis
Abstract. Profiling can effectively analyze program behavior and provide critical information for feedback-directed or dynamic optimizations. Based on memory profiling, reuse dista...
Changpeng Fang, Steve Carr, Soner Önder, Zhen...
ICANN
2001
Springer
14 years 21 days ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc
COLING
2008
13 years 9 months ago
Extracting Synchronous Grammar Rules From Word-Level Alignments in Linear Time
We generalize Uno and Yagiura's algorithm for finding all common intervals of two permutations to the setting of two sequences with many-to-many alignment links across the tw...
Hao Zhang, Daniel Gildea, David Chiang
AUTOMATICA
2008
82views more  AUTOMATICA 2008»
13 years 8 months ago
Iterative minimization of H2 control performance criteria
Data-based control design methods most often consist of iterative adjustment of the controller's parameters towards the parameter values which minimize an H2 performance crit...
Alexandre S. Bazanella, Michel Gevers, Ljubisa Mis...